Abstract
Recognizing early changes in a patient's condition is essential to saving lives. This large urban facility successfully reduced mortality, increased situational awareness, and supported appropriate transitions of care. Utilizing a validated predictive analytics tool, nurses and providers identify patient decline earlier and intervene to reduce cardiac arrest outside the ICU.
Sigma Membership
Pi at-Large
Type
Presentation
Format Type
Text-based Document
Study Design/Type
N/A
Research Approach
N/A
Keywords:
Mortality, Predictive Analytics, Transitions of Care
Recommended Citation
Sullivan, Christine A. and Marlett, Janice E., "Applying predictive analytics at the bedside to reduce mortality and facilitate transitions of care" (2019). Convention. 343.
https://www.sigmarepository.org/convention/2019/presentations_2019/343
Conference Name
45th Biennial Convention
Conference Host
Sigma Theta Tau International
Conference Location
Washington, DC, USA
Conference Year
2019
Rights Holder
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Review Type
Abstract Review Only: Reviewed by Event Host
Acquisition
Proxy-submission
Applying predictive analytics at the bedside to reduce mortality and facilitate transitions of care
Washington, DC, USA
Recognizing early changes in a patient's condition is essential to saving lives. This large urban facility successfully reduced mortality, increased situational awareness, and supported appropriate transitions of care. Utilizing a validated predictive analytics tool, nurses and providers identify patient decline earlier and intervene to reduce cardiac arrest outside the ICU.
Description
45th Biennial Convention 2019 Theme: Connect. Collaborate. Catalyze.